GB2547997A - Training algorithm for collision avoidance - Google Patents
Training algorithm for collision avoidance Download PDFInfo
- Publication number
- GB2547997A GB2547997A GB1701278.2A GB201701278A GB2547997A GB 2547997 A GB2547997 A GB 2547997A GB 201701278 A GB201701278 A GB 201701278A GB 2547997 A GB2547997 A GB 2547997A
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- United Kingdom
- Prior art keywords
- vehicle
- lane
- model
- splitting
- learning model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000012549 training Methods 0.000 title claims description 13
- 238000010801 machine learning Methods 0.000 claims abstract description 48
- 238000000034 method Methods 0.000 claims description 38
- 238000001514 detection method Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 230000008447 perception Effects 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 12
- 238000003384 imaging method Methods 0.000 description 12
- 238000004590 computer program Methods 0.000 description 8
- 230000001133 acceleration Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000002310 reflectometry Methods 0.000 description 4
- 230000035945 sensitivity Effects 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 230000005236 sound signal Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 241000699670 Mus sp. Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000003213 activating effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000001444 catalytic combustion detection Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000030808 detection of mechanical stimulus involved in sensory perception of sound Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
- B60W30/09—Taking automatic action to avoid collision, e.g. braking and steering
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/088—Non-supervised learning, e.g. competitive learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/1916—Validation; Performance evaluation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R29/00—Monitoring arrangements; Testing arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2499/00—Aspects covered by H04R or H04S not otherwise provided for in their subgroups
- H04R2499/10—General applications
- H04R2499/13—Acoustic transducers and sound field adaptation in vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Automation & Control Theory (AREA)
- Multimedia (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Otolaryngology (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
- Feedback Control In General (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/007,024 US10474964B2 (en) | 2016-01-26 | 2016-01-26 | Training algorithm for collision avoidance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| GB201701278D0 GB201701278D0 (en) | 2017-03-08 |
| GB2547997A true GB2547997A (en) | 2017-09-06 |
Family
ID=58462924
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB1701278.2A Withdrawn GB2547997A (en) | 2016-01-26 | 2017-01-25 | Training algorithm for collision avoidance |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US10474964B2 (zh) |
| CN (1) | CN107031622B (zh) |
| DE (1) | DE102017101106A1 (zh) |
| GB (1) | GB2547997A (zh) |
| MX (1) | MX2017001202A (zh) |
| RU (1) | RU2017100440A (zh) |
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| US9701307B1 (en) * | 2016-04-11 | 2017-07-11 | David E. Newman | Systems and methods for hazard mitigation |
| CN109643125B (zh) | 2016-06-28 | 2022-11-15 | 柯尼亚塔有限公司 | 用于训练自动驾驶系统的逼真的3d虚拟世界创造与模拟 |
| KR20180060784A (ko) * | 2016-11-29 | 2018-06-07 | 삼성전자주식회사 | 비정상 객체 판단 방법 및 장치 |
| US11157014B2 (en) * | 2016-12-29 | 2021-10-26 | Tesla, Inc. | Multi-channel sensor simulation for autonomous control systems |
| US10061322B1 (en) * | 2017-04-06 | 2018-08-28 | GM Global Technology Operations LLC | Systems and methods for determining the lighting state of a vehicle |
| US10481044B2 (en) * | 2017-05-18 | 2019-11-19 | TuSimple | Perception simulation for improved autonomous vehicle control |
| US11487988B2 (en) * | 2017-08-31 | 2022-11-01 | Ford Global Technologies, Llc | Augmenting real sensor recordings with simulated sensor data |
| CN107745711B (zh) * | 2017-09-05 | 2021-01-05 | 百度在线网络技术（北京）有限公司 | 一种在自动驾驶模式下确定路线的方法和装置 |
| US10384346B2 (en) * | 2017-09-08 | 2019-08-20 | Niantic, Inc. | Collision detection, estimation, and avoidance |
| WO2019113510A1 (en) * | 2017-12-07 | 2019-06-13 | Bluhaptics, Inc. | Techniques for training machine learning |
| US10755115B2 (en) * | 2017-12-29 | 2020-08-25 | Here Global B.V. | Method, apparatus, and system for generating synthetic image data for machine learning |
| US10831636B2 (en) | 2018-01-08 | 2020-11-10 | Waymo Llc | Software validation for autonomous vehicles |
| JP6806107B2 (ja) * | 2018-03-20 | 2021-01-06 | 日本電気株式会社 | 障害物認識支援装置、障害物認識支援方法、プログラム |
| US11966838B2 (en) * | 2018-06-19 | 2024-04-23 | Nvidia Corporation | Behavior-guided path planning in autonomous machine applications |
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| US10800409B2 (en) * | 2018-09-04 | 2020-10-13 | Caterpillar Paving Products Inc. | Systems and methods for operating a mobile machine using detected sounds |
| EP3864579A4 (en) * | 2018-10-11 | 2022-06-08 | Bayerische Motoren Werke Aktiengesellschaft | SNAPSHOT TRAINING A STREET MODEL |
| KR20200051278A (ko) | 2018-11-05 | 2020-05-13 | 삼성전자주식회사 | 인공 신경망에서의 작업 관리 방법 및 이를 포함하는 시스템 |
| DE102019101127A1 (de) | 2019-01-17 | 2020-07-23 | Valeo Schalter Und Sensoren Gmbh | Verfahren zum Verarbeiten mittels Ultraschall erhaltener Daten |
| WO2020164732A1 (en) * | 2019-02-15 | 2020-08-20 | Siemens Industry Software And Services B.V. | A method for computer-implemented simulation of sensor data of a vehicle |
| CN113392809B (zh) * | 2019-02-21 | 2023-08-15 | 百度在线网络技术（北京）有限公司 | 一种自动驾驶信息处理方法、装置及存储介质 |
| US11577741B1 (en) * | 2019-04-05 | 2023-02-14 | Zoox, Inc. | Systems and methods for testing collision avoidance systems |
| EP3963559A4 (en) * | 2019-04-29 | 2023-01-18 | Volkswagen Aktiengesellschaft | VEHICLE CONTROL DEVICE AND VEHICLE CONTROL SYSTEM |
| CN112560324B (zh) * | 2019-09-24 | 2024-06-04 | 北京百度网讯科技有限公司 | 用于输出信息的方法和装置 |
| US11584377B2 (en) * | 2019-11-21 | 2023-02-21 | Gm Cruise Holdings Llc | Lidar based detection of road surface features |
| CN114902282A (zh) * | 2019-12-23 | 2022-08-12 | 空中客车A^3有限责任公司 | 用于有效感测碰撞威胁的系统和方法 |
| JP7443177B2 (ja) * | 2020-07-16 | 2024-03-05 | トヨタ自動車株式会社 | 衝突回避支援装置 |
| CN112130470B (zh) * | 2020-09-27 | 2022-04-12 | 西安电子科技大学芜湖研究院 | 一种整车控制器便携式硬件在环仿真系统 |
| US11645360B2 (en) | 2020-09-30 | 2023-05-09 | Ford Global Technologies, Llc | Neural network image processing |
| CN112270251B (zh) * | 2020-10-26 | 2021-07-06 | 清华大学 | 一种基于互信息的自适应多传感器数据融合方法及系统 |
| US11697370B2 (en) * | 2021-01-28 | 2023-07-11 | GM Global Technology Operations LLC | Augmented audio output by an electric vehicle |
| EP4320019A1 (en) * | 2021-04-07 | 2024-02-14 | Ridecell, Inc. | A systematic approach towards system identification based yaw rate estimation with low-cost imu+gps units |
| US20230080540A1 (en) * | 2021-09-16 | 2023-03-16 | Aurora Operations, Inc. | Lidar simulation system |
| US11550851B1 (en) * | 2022-02-10 | 2023-01-10 | Motional Ad Llc | Vehicle scenario mining for machine learning models |
| TWI832203B (zh) * | 2022-04-08 | 2024-02-11 | 富智捷股份有限公司 | 驗證系統及方法 |
| FR3138402B1 (fr) * | 2022-07-27 | 2024-06-14 | Psa Automobiles Sa | Sécurisation de la conduite autonome d’un véhicule automobile vis-à-vis d’une moto qui remonte les files |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US8473144B1 (en) * | 2012-10-30 | 2013-06-25 | Google Inc. | Controlling vehicle lateral lane positioning |
| GB2545312A (en) * | 2015-10-22 | 2017-06-14 | Ford Global Tech Llc | Detection of lane-splitting motorcycles |
| GB2545310A (en) * | 2015-10-21 | 2017-06-14 | Ford Global Tech Llc | Perception-based speed limit estimation and learning |
| GB2545544A (en) * | 2015-10-27 | 2017-06-21 | Ford Global Tech Llc | Collision avoidance using auditory data |
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-
2016
- 2016-01-26 US US15/007,024 patent/US10474964B2/en not_active Expired - Fee Related
-
2017
- 2017-01-11 RU RU2017100440A patent/RU2017100440A/ru not_active Application Discontinuation
- 2017-01-20 DE DE102017101106.4A patent/DE102017101106A1/de not_active Withdrawn
- 2017-01-25 GB GB1701278.2A patent/GB2547997A/en not_active Withdrawn
- 2017-01-25 CN CN201710055943.8A patent/CN107031622B/zh active Active
- 2017-01-26 MX MX2017001202A patent/MX2017001202A/es unknown
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8473144B1 (en) * | 2012-10-30 | 2013-06-25 | Google Inc. | Controlling vehicle lateral lane positioning |
| GB2545310A (en) * | 2015-10-21 | 2017-06-14 | Ford Global Tech Llc | Perception-based speed limit estimation and learning |
| GB2545312A (en) * | 2015-10-22 | 2017-06-14 | Ford Global Tech Llc | Detection of lane-splitting motorcycles |
| GB2545544A (en) * | 2015-10-27 | 2017-06-21 | Ford Global Tech Llc | Collision avoidance using auditory data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107031622B (zh) | 2022-04-12 |
| GB201701278D0 (en) | 2017-03-08 |
| US20170213149A1 (en) | 2017-07-27 |
| US10474964B2 (en) | 2019-11-12 |
| RU2017100440A (ru) | 2018-07-11 |
| CN107031622A (zh) | 2017-08-11 |
| DE102017101106A1 (de) | 2017-07-27 |
| MX2017001202A (es) | 2018-07-25 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| WAP | Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1) |